Relacionar Columnas RelationshipsVersión en línea Match the relationship with its definition. por Paul Alves - Fletchers Meadow SS (2492) 1 presumed relationship 2 accidental relationship 3 experimental group 4 extraneous variables 5 hidden variables 6 control group 7 common cause relationship 8 cause and effect relationship 9 reverse cause and effect relationship accidental relationship presumed relationship The presumed dependent and independent variables are reversed in the process of determining causality. (Y causes X). A correlation exists without any causal relationship between variables. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. A change in X produces a change in Y. A correlation exists without any causal relationship between variables. they receive the treatment being tested Variables that affect either the dependent or the independent variable and are NOT predictable. they do not receive the treatment by the researchers and are used as to compare against the group that does receive the treatment A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. An external variable causes two variables to change the same way.
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